71 20 11858 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource An adept approach to ascertain and elude probable social bots attacks on twitter and twitch employing machine learning approach Subject The topic of the resource Classification accuracy; Cyber attacks; Fact checking; Feature extraction; Hist gradient boosting classifier; Machine learning; Social bot detection Description An account of the resource There has been a tremendous increase in the popularity of social media such as blogs, Instagram, twitter, online websites etc. The increasing utilization of these platforms have enabled the users to share information on a regular basis and also publicize social events. Nevertheless, most of the multimedia events are filled with social bots which raise concerns on the authenticity of the information shared in these events. With the increasing advancements of social bots, the complexity of detecting and fact-checking is also increasing. This is mainly due to the similarity between authorized users and social bots. Several researchers have introduced different models for detecting social bots and fact checking. However, these models suffer from various challenges. In most of the cases, these bots become indistinguishable from existing users and it is challenging to extract relevant attributes of the bots. In addition, it is also challenging to collect large scale data and label them for training the bot detection models. The performance of existing traditional classifiers used for bot detection processes is not satisfactory. This paper presents: A machine learning based adaptive fuzzy neuro model integrated with a hist gradient boosting (HGB) classifier for identifying the persisting pattern of social bots for fake news detection. And Harris Hawk optimization with Bi-LSTM for social bot prediction. Results validate the efficacy of the HGB classifier which achieves a phenomenal accuracy of 95.64 % for twitter bot and 98.98 % for twitch bot dataset. 2023 Creator An entity primarily responsible for making the resource Sethurajan M.R.; K? N. Source A related resource from which the described resource is derived MethodsX, Vol-11 Publisher An entity responsible for making the resource available Elsevier B.V. Date A point or period of time associated with an event in the lifecycle of the resource 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1016/j.mex.2023.102430" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.mex.2023.102430</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85173865720&doi=10.1016%2Fj.mex.2023.102430&partnerID=40&md5=37d425003a5e15857a8642332f6ae869" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85173865720&doi=10.1016%2fj.mex.2023.102430&partnerID=40&md5=37d425003a5e15857a8642332f6ae869</a> Rights Information about rights held in and over the resource All Open Access; Gold Open Access; Green Open Access Relation A related resource ISSN: 22150161 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Sethurajan M.R., Research Schol, Computer Science and Engineering, CHRIST (Deemed to be University), Kengeri Campus, Karnataka, Bengaluru, 560029, India; K? N., Computer Science and Engineering, CHRIST (Deemed to be University), Kengeri Campus, Karnataka, Bengaluru, 560029, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource An Adoptable Multi-Criteria Decision-Making Analysis to Select a Best Hair Mask Product-Extended Weighted Aggregated Sum Product Assessment Method Subject The topic of the resource Extended WASPAS method; Hair masks; MCDM; Trapezoidal interval type-2 fuzzy set; Type-2 fuzzy sets Description An account of the resource Hair masks (HMs) act as one of the solutions for most of the hair problems like dandruff, frizziness, breakage, premature- greying and so on. Due to its various benefits, HM products are acquiring more popularity among the individuals. As there are different varieties of HM products available in the market, the confusion arises in choosing a HM which suits the individuals hair profile and causes less side effects. Here, we have employed multi-criteria decision-making (MCDM) combined with fuzzy set theory to obtain better results. We used the extended Weighted Aggregated Sum Product Assessment (WASPAS) method based on trapezoidal interval type-2 fuzzy set (TIT2FS) in this research paper to handle vagueness and complexity in real-world problems. For determining the objective weights of the criteria, we used the entropy method of weight finding. An example of selecting a hair mask product (HMP) among four alternatives based on five criteria is provided to illustrate the applicability of the proposed method. In comparison to other MCDM methods, the approach yielded more practical results. By doing a sensitive study, the methods stability is also assessed. 2021, The Author(s). Creator An entity primarily responsible for making the resource Narayanamoorthy S.; Brainy J.V.; Manirathinam T.; Kalaiselvan S.; Kureethara J.V.; Kang D. Source A related resource from which the described resource is derived International Journal of Computational Intelligence Systems, Vol-14, No. 1 Publisher An entity responsible for making the resource available Atlantis Press Date A point or period of time associated with an event in the lifecycle of the resource 2021-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/s44196-021-00007-y" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/s44196-021-00007-y</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85116050356&doi=10.1007%2Fs44196-021-00007-y&partnerID=40&md5=4d771c2bf563d3030550e473a22a9f38" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85116050356&doi=10.1007%2fs44196-021-00007-y&partnerID=40&md5=4d771c2bf563d3030550e473a22a9f38</a> Rights Information about rights held in and over the resource All Open Access; Gold Open Access Relation A related resource ISSN: 18756891 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Narayanamoorthy S., Department of Mathematics, Bharathiar University, Coimbatore, 641046, India; Brainy J.V., Department of Mathematics, Bharathiar University, Coimbatore, 641046, India; Manirathinam T., Department of Mathematics, Bharathiar University, Coimbatore, 641046, India; Kalaiselvan S., Department of Social Work, Sri Ramakrishna Mission Vidyalaya College of Arts and Science, SRMV, Coimbatore, 641020, Tamil Nadu, India; Kureethara J.V., CHRIST (Deemed to be University), Bangalore, India; Kang D., Department of Industrial and Management Engineering, Institute of Digital Anti-Aging Health Care, Inge University, 197 Inje-ro, Gimhae-si, 50834, Gyeongsangnam-do, South Korea Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource An Advanced and Ideal Method for Tumor Detection and Classification from MRI Image Using Gamma Distribution and Support Vector Machine Subject The topic of the resource Diagnosis process; Gamma distribution; Tumor Description An account of the resource As indicated by a measurable report distributed by the registry of central brain tumor at United States (CBTRUS), roughly 59,550 individuals were recently diagnosed to have essential benign and essential harmful brain tumors in 2017. Besides, in excess of 91,000 individuals, in the United States alone, were living with an essential harmful cerebrum tumor and 367,000 were living with an essential kind brain tumor. The task of detecting the position of the tumor in the body of the patient is the starting point for a medical treatment in the diagnosis process. The main aim of this study is to design a computer system, which is able to detect the tumor presence in the digital images of the brain in the patient and to accurately define its borderline. In this proposed model, gamma distribution method is used for training, testing, and for the feature extraction process, while SVM, support vector machine is used for the classification process. Most of the algorithms find it difficult to segment the tumors that were present in the edges. But with the help of gamma distribution along with the use of edge analysis, it is easier to identify those tumor areas that are present in the edges, thus making it easier for the preprocessing process. Gamma distribution also provides us with high accuracy, and it can also point the exact location of the tumor than compared to other algorithms. 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. Creator An entity primarily responsible for making the resource Aruna S.K.; Sambandam R.K.; Thaiyalnayaki S.; Vetriveeran D. Source A related resource from which the described resource is derived Smart Innovation, Systems and Technologies, Vol-313, pp. 439-447. Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH Date A point or period of time associated with an event in the lifecycle of the resource 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-981-19-8669-7_38" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-19-8669-7_38</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85164916687&doi=10.1007%2F978-981-19-8669-7_38&partnerID=40&md5=06153dd2ee2e5669fdff2f617354fb38" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85164916687&doi=10.1007%2f978-981-19-8669-7_38&partnerID=40&md5=06153dd2ee2e5669fdff2f617354fb38</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 21903018; ISBN: 978-981198668-0 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Aruna S.K., Department of Computer Science and Engineering, School of Engineering and Technology, CHRIST (Deemed to be University)Kengeri Campus, Karnataka, Bangalore, India; Sambandam R.K., Department of Computer Science and Engineering, School of Engineering and Technology, CHRIST (Deemed to be University)Kengeri Campus, Karnataka, Bangalore, India; Thaiyalnayaki S., Department of Computer Science and Engineering, School of Computing, Bharath Institute of Higher Education and Research (Deemed to be University), Tamilnadu, Chennai, India; Vetriveeran D., Department of Computer Science and Engineering, School of Engineering and Technology, CHRIST (Deemed to be University)Kengeri Campus, Karnataka, Bangalore, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Book Chapter Book Chapter Faculty Publications- Book Chapter Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource An advanced machine learning framework for cybersecurity Subject The topic of the resource Anomaly detection; Cybersecurity; GAN; Machine learning; Threat Description An account of the resource The world is turning out to be progressively digitalized raising security concerns and the urgent requirement for strong and propelled security innovations and procedures to battle the expanding complex nature of digital assaults. This paper examines how AI is being utilized in digital security in both resistance and offense exercises, remembering exchanges for digital attacks focused on AI models. Digital security is the assortment of approaches, systems, advancements, and procedures that work together to ensure the confidentiality, trustworthiness, and accessibility of processing assets, systems, programming projects, and information from attacks. Machine learning-based examination for cybersecurity is the following rising pattern in digital security, planned for mining security information to reveal progressed focused on digital threats and limiting the operational overheads of keeping up static relationship rules. In this paper, we are mainly focusing on the detection and diagnosis of various cyber threats based on machine learning. The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd 2021. Creator An entity primarily responsible for making the resource Joshy A.P.; Natarajan K.; Naik P. Source A related resource from which the described resource is derived Lecture Notes in Networks and Systems, Vol-132, pp. 235-241. Publisher An entity responsible for making the resource available Springer Date A point or period of time associated with an event in the lifecycle of the resource 2021-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-981-15-5309-7_25" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-15-5309-7_25</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85090375074&doi=10.1007%2F978-981-15-5309-7_25&partnerID=40&md5=334bd5991beb9e7bf0163d1d9267c1bb" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85090375074&doi=10.1007%2f978-981-15-5309-7_25&partnerID=40&md5=334bd5991beb9e7bf0163d1d9267c1bb</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 23673370 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Book chapter Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Joshy A.P., Department of Computer Science and Engineering, CHRIST (Deemed to Be University), Bangalore, India; Natarajan K., Department of Computer Science and Engineering, CHRIST (Deemed to Be University), Bangalore, India; Naik P., Department of Computer Science and Engineering, CHRIST (Deemed to Be University), Bangalore, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource An advanced variable temperature refrigerator for preservation and management of food items Subject The topic of the resource DS18B20; IoT; Refrigerator; Square force sensitive resistors Description An account of the resource All food items will have shelf life period. The main aim of food preservation is to maximize the shelf life period and preservation of nutrients for a long period. One of the preservation methods is refrigeration. Each food item will have its own optimum storage temperature to maximize the shelf life period. Normal refrigerators have fixed temperature. The work proposes a refrigerator with six compartments which is equipped with temperature sensors to maintain the fixed temperature for that compartment and with weighing sensors to monitor the depleting food items with the help of a controller. 2019, Institute of Advanced Scientific Research, Inc. All rights reserved. Creator An entity primarily responsible for making the resource Aruna S.K.; Thomas M.; David K. Source A related resource from which the described resource is derived Journal of Advanced Research in Dynamical and Control Systems, Vol-11, No. 2 Special Issue, pp. 1960-1966. Publisher An entity responsible for making the resource available Institute of Advanced Scientific Research, Inc. Date A point or period of time associated with an event in the lifecycle of the resource 2019-01-01 Identifier An unambiguous reference to the resource within a given context <a href="" target="_blank" rel="noreferrer noopener"></a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85073628670&partnerID=40&md5=12b41bbf3f64b4c57b987ff984328d88" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85073628670&partnerID=40&md5=12b41bbf3f64b4c57b987ff984328d88</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 1943023X Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Aruna S.K., Department of Computer Science and Engineering Department, Christ (Deemed to be University), Bangalore, India; Thomas M., Department of Computer Science and Engineering Department, Christ (Deemed to be University), Bangalore, India; David K., IBM, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource An AHP-TOPSIS Approach for Optimizing the Mechanical Performance of Natural Fiber-Based Green Composites Description An account of the resource Natural fibers have emerged as an effective replacement for synthetic fibers in the fabrication of green composites to be used for producing various components in automotive, aerospace, and other applications. In this proposed study, the mechanical properties of banana and coir fiber-based green composites have been optimized by using a hybrid AHP-TOPSIS approach. Corn starch along with glycerol has been used as the matrix material for fabricating the green composites. The mechanical properties such as tensile strength, flexural strength, and impact strength of the developed green composite have been optimized with a focus on the utilization of this composite in automotive and aerospace applications. Three different weight percentages (0%, 5%, and 10%) of banana and coir fibers was considered for the fabrication of green composites. The constituents of the green composite have been taken as the input variables whereas the mechanical properties of the green composite are considered as the output variables for designing the experiment. The design of the experiment consisted of nine different combinations of input and output variables. Results of the study revealed that 5 wt.% of banana fiber, 10 wt.% of coir fiber, and 85 wt.% of corn starch provide the optimum mechanical performance of the developed green composites. 2022 A. N. Shankar et al. Creator An entity primarily responsible for making the resource Shankar A.N.; Jagota V.; Jamadon N.H.; Raffik R.; Suneetha V.L.; Samori I.A.; Karnan L. Source A related resource from which the described resource is derived Advances in Materials Science and Engineering, Vol-2022 Publisher An entity responsible for making the resource available Hindawi Limited Date A point or period of time associated with an event in the lifecycle of the resource 2022-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1155/2022/1263237" target="_blank" rel="noreferrer noopener">https://doi.org/10.1155/2022/1263237</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85140824162&doi=10.1155%2F2022%2F1263237&partnerID=40&md5=8f2e0a75ad87bbb782a74353dcfc83be" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85140824162&doi=10.1155%2f2022%2f1263237&partnerID=40&md5=8f2e0a75ad87bbb782a74353dcfc83be</a> Rights Information about rights held in and over the resource All Open Access; Gold Open Access Relation A related resource ISSN: 16878434 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Shankar A.N., Department of HSE & Civil Engineering, University of Petroleum & Energy Studies, Dehradun, India; Jagota V., Department of Mechanical Engineering, Madanapalle Institute of Technology and Science, Andhra Pradesh, Madanapalle, India; Jamadon N.H., Department of Mechanical and Manufacturing Engineering, Faculty of Engineering and Built Environment, National University of Malaysia, Bangi, 43600, Malaysia; Raffik R., Department of Mechatronics Engineering, Kumaraguru College of Technology, Tamil Nadu, Coimbatore, India; Suneetha V.L., Department of Physics, R. V. R. & J. C. College of Engineering, Andhra Pradesh, Chowdavaram, India; Samori I.A., School of Engineering Sciences, University of Ghana, Accra, Ghana; Karnan L., Department of Computer Science, CHRIST (Deemed to Be University), Bengaluru, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource An AI Approach to Pose-based Sports Activity Classification Subject The topic of the resource Activity; Classification; Keypoints; Pose estimation; Sports; Tennis Description An account of the resource Artificial intelligence systems have permeated into all spheres of our life-impacting everything from our food habits to our sleep patterns. One untouched area where such intelligent systems are still in their infancy is sports. There has not been enough indulgence of AI techniques in sports, and most of the works are carried on manually by coaching staff and human appointees. We believe that intelligent systems can make coaching staff's work easier and produce findings that the human eye can often overlook. Here, we have proposed an intelligent system to analyze the beautiful game of tennis. With the use of computer vision architecture Detectron2 and activity-based pose estimation and subsequent classification, it can identify an action from a tennis shot (activity). It can produce a performance score for the player based on pose and movement like forehand and backhand. It can also be used to understand and evaluate the strengths and weaknesses of the player. The proposed approach provides a piece of valuable information for a player's performance and activity detection to be used for better coaching. The study achieves a classification accuracy of 98.60% and outperforms other SOTA CNN models. 2021 IEEE Creator An entity primarily responsible for making the resource Chatterjee R.; Roy S.; Islam S.K.H.; Samanta D. Source A related resource from which the described resource is derived Proceedings of the 8th International Conference on Signal Processing and Integrated Networks, SPIN 2021, pp. 156-161. Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Date A point or period of time associated with an event in the lifecycle of the resource 2021-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/SPIN52536.2021.9565996" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/SPIN52536.2021.9565996</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85126263655&doi=10.1109%2FSPIN52536.2021.9565996&partnerID=40&md5=79c9be52ddde059adab0b4b0f187e2f2" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85126263655&doi=10.1109%2fSPIN52536.2021.9565996&partnerID=40&md5=79c9be52ddde059adab0b4b0f187e2f2</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-166543564-2 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Chatterjee R., School of Computer Engineering, KIIT Deemed to be University, Odisha, Bhubaneswar, 751024, India; Roy S., School of Computer Engineering, KIIT Deemed to be University, Odisha, Bhubaneswar, 751024, India; Islam S.K.H., Department of Computer Science and Engineering, Indian Institute of Information Technology Kalyani, West Bengal, Kalyani, 741235, India; Samanta D., Department of Computer Science, CHRIST Deemed to be University, Hosur Road, Karnataka, Bengaluru, 560029, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource An AI-Based Forensic Model for Online Social Networks Subject The topic of the resource AI; Cybercrime; Forensics; Social media Description An account of the resource With the growth of social media usage, social media crimes are also creeping sprightly. Investigation of such crimes involves the thorough examination of data like user, activity, network, and content. Although investigating social media looks quite straight forward process, it is always challenging for the investigators due to the complex process involved in it. Due to the immense growth of social media content, manual processing of data for investigation is not possible. Most of the works from this area provide an automatic model or semi-automated, and much of the contributions lacks the logical reasoning and explainability of the evidence extracted. Searching techniques like entity-based search and explainable AI add value to the quick retrieval within appropriate scope and explain the results to the court of law. This paper provides a model by adding these new techniques to the basic forensic process. 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. Creator An entity primarily responsible for making the resource Pawar V.; Jose D.V. Source A related resource from which the described resource is derived Lecture Notes in Networks and Systems, Vol-462, pp. 209-218. Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH Date A point or period of time associated with an event in the lifecycle of the resource 2022-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-981-19-2211-4_18" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-19-2211-4_18</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85135010778&doi=10.1007%2F978-981-19-2211-4_18&partnerID=40&md5=bd4ab2ff2ef08b883ca0ffbf52b8b4fa" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85135010778&doi=10.1007%2f978-981-19-2211-4_18&partnerID=40&md5=bd4ab2ff2ef08b883ca0ffbf52b8b4fa</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 23673370; ISBN: 978-981192210-7 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Pawar V., Department of Computer Applications, CMR Institute of Technology, Bengaluru, India, Department of Computer Science, CHRIST (Deemed to be University), Bangalore, India; Jose D.V., Department of Computer Science, CHRIST (Deemed to be University), Bangalore, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource An AI-enabled research support tool for the classification system of COVID-19 Subject The topic of the resource Artificial Intelligence; bi-directional LSTM; classification; COVID-19; long short-term memory Description An account of the resource The outbreak of COVID-19, a little more than 2 years ago, drastically affected all segments of society throughout the world. While at one end, the microbiologists, virologists, and medical practitioners were trying to find the cure for the infection; the Governments were laying emphasis on precautionary measures like lockdowns to lower the spread of the virus. This pandemic is perhaps also the first one of its kind in history that has research articles in all possible areas as like: medicine, sociology, psychology, supply chain management, mathematical modeling, etc. A lot of work is still continuing in this area, which is very important also for better preparedness if such a situation arises in future. The objective of the present study is to build a research support tool that will help the researchers swiftly identify the relevant literature on a specific field or topic regarding COVID-19 through a hierarchical classification system. The three main tasks done during this study are data preparation, data annotation and text data classification through bi-directional long short-term memory (bi-LSTM). Copyright 2023 Tiwari, Bhattacharjee, Pant, Srivastava and Snasel. Creator An entity primarily responsible for making the resource Tiwari A.; Bhattacharjee K.; Pant M.; Srivastava S.; Snasel V. Source A related resource from which the described resource is derived Frontiers in Public Health, Vol-11 Publisher An entity responsible for making the resource available Frontiers Media S.A. Date A point or period of time associated with an event in the lifecycle of the resource 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.3389/fpubh.2023.1124998" target="_blank" rel="noreferrer noopener">https://doi.org/10.3389/fpubh.2023.1124998</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85150412927&doi=10.3389%2Ffpubh.2023.1124998&partnerID=40&md5=370dd930f2cec5ca466ebede35b44a5f" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85150412927&doi=10.3389%2ffpubh.2023.1124998&partnerID=40&md5=370dd930f2cec5ca466ebede35b44a5f</a> Rights Information about rights held in and over the resource All Open Access; Gold Open Access; Green Open Access Relation A related resource ISSN: 22962565; PubMed ID: 36935722 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Tiwari A., Department of Applied Mathematics and Scientific Computing, Indian Institute of Technology Roorkee, Uttarakhand, Roorkee, India; Bhattacharjee K., Machine Intelligence in Medicine and Imaging (MI-2) Lab, Mayo Clinic, Phoenix, AZ, United States; Pant M., Department of Applied Mathematics and Scientific Computing, Indian Institute of Technology Roorkee, Uttarakhand, Roorkee, India, Mehta Family School for Data Science and Artificial Intelligence, Indian Institute of Technology Roorkee, Uttarakhand, Roorkee, India; Srivastava S., CHRIST (Deemed to be University) Delhi NCR, Ghaziabad, India; Snasel V., Department of Computer Science, VB-Technical University of Ostrava, Ostrava, Czech Republic Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource An algorithm for IoT based vehicle verification system using RFID Subject The topic of the resource Arduino; Identification; Internet of Things; RFID Vehicle; Sensors Description An account of the resource The verification of vehicle documents is an important role of transport department which is rising day by day due to the mass registration of the vehicles. An automated vehicle verification system can improve the efficiency of this process. In this paper, we propose an IOT based vehicle verification system using RFID technology. As a result, the vehicle checking which is done now manually can be replaced by automation. There is a loss of a significant amount of time when the normal vehicle checking is done manually. The proposed system will make this process automated. The present verification process is using inductive loops that are placed in a roadbed for detecting vehicles as they pass through the loop of the magnetic field. Similarly, the sensing devices spread along the road can detect passing vehicles through the Bluetooth mechanism. The fixed audio detection devices that can be used to identify the type of vehicles on the road. Other measurements are fixed cameras installed in specific points of roads for categorising the vehicles. But all these mechanisms cannot verify the documents and certificates of the vehicles. In our work, we have suggested an algorithm using RFID technology to automate the documentation verification process of the vehicles like Pollution, Insurance, Rc book etc with the help of RFID reader placed at road checking areas. This documents will be updated by the motor vehicle department at specific periods. Copyright 2019 Institute of Advanced Engineering and Science. All rights reserved. Creator An entity primarily responsible for making the resource Samuel A.J.; Sebastian S. Source A related resource from which the described resource is derived International Journal of Electrical and Computer Engineering, Vol-9, No. 5, pp. 3751-3758. Publisher An entity responsible for making the resource available Institute of Advanced Engineering and Science Date A point or period of time associated with an event in the lifecycle of the resource 2019-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.11591/ijece.v9i5.pp3751-3758" target="_blank" rel="noreferrer noopener">https://doi.org/10.11591/ijece.v9i5.pp3751-3758</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85067356499&doi=10.11591%2Fijece.v9i5.pp3751-3758&partnerID=40&md5=5ce7ee7fd0463a878947f93246d46818" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85067356499&doi=10.11591%2fijece.v9i5.pp3751-3758&partnerID=40&md5=5ce7ee7fd0463a878947f93246d46818</a> Rights Information about rights held in and over the resource All Open Access; Gold Open Access; Green Open Access Relation A related resource ISSN: 20888708 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Samuel A.J., Department of Computer Science, CHRIST (Deemed to be University), India; Sebastian S., Department of Computer Science, CHRIST (Deemed to be University), India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource An algorithm to detect an object in a confined space by using improved fingerprinting approach Subject The topic of the resource Fingerprinting; Indoor positioning system; Received signal strength; Trilateration; Wi-Fi Description An account of the resource The rapid evolution of location-based services has made tremendous changes in the society. In this paper, Trilateration method is implemented in fingerprinting methodology to obtain very precise and low error position details of the client portable device. Trilateration is a method in which the portable device is determined by the received signal strength intersecting at one position from the three reference points. Fingerprinting method involves several steps like training stage and positioning stage in which the training stage consists of the creation of the database of the signal strengths along with its associated location measurements. In the positioning step where effective and efficient received signal strength collected from the portable device is matched with the data saved into the database to get the position information of the client. The position of the user is estimated by collecting the received signal strengths from three reference points by using the concepts of trilateration approach in fingerprinting methodology to obtain more precise and accurate information. 2005 - ongoing JATIT & LLS. Creator An entity primarily responsible for making the resource Immanual; Sebastian S. Source A related resource from which the described resource is derived Journal of Theoretical and Applied Information Technology, Vol-97, No. 9, pp. 2526-2538. Publisher An entity responsible for making the resource available Little Lion Scientific Date A point or period of time associated with an event in the lifecycle of the resource 2019-01-01 Identifier An unambiguous reference to the resource within a given context <a href="" target="_blank" rel="noreferrer noopener"></a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85067260289&partnerID=40&md5=8f148f0555d536609c25866d99512f32" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85067260289&partnerID=40&md5=8f148f0555d536609c25866d99512f32</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 19928645 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Immanual, Department of Computer Science, Christ (Deemed to be University), Bengaluru, 560029, Karnataka, India; Sebastian S., Department of Computer Science, Christ (Deemed to be University), Bengaluru, 560029, Karnataka, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource An Alternative Deep Learning Approach for Early Diagnosis of Malaria Subject The topic of the resource ConvNeXt; Deep Learning; Malaria detection; ResNet; Transfer Learning Description An account of the resource Considering the malaria disease-related moralities prevailing mainly in underdeveloped countries, early detection and treatment of malaria must be an essential strategy for lowering morbidity and fatality rates. Detection of Malaria using traditional investigation methods through blood samples and expert judgments was found to be time-consuming. In this paper, the authors introduced a Machine Learning automated system to eliminate the need for human intervention, which in turn enables early detection of malaria. The study has used various Deep Learning techniques such as traditional Convolutional Neural Network (CNN), VGG19, ConvNeXtXLarge, ConvNeXtBase, ConvNeXtSmall, ConvNeXtTiny, InceptionResnetv2, Xception, DenseNet169, EfficientNetB7, MobileNet, ResNet50, and NasNetLarge as base models. These models have been trained and tested with microscopic blood smear images dataset and observed that ConvNeXtXLarge detects malarial parasites with an accuracy of 96%. The proposed method outperforms the existing approaches in terms of both accuracy and speed. The findings of this work can contribute to the development of more accurate and efficient automated systems for early detection of Malaria. 2024 IEEE. Creator An entity primarily responsible for making the resource Vrindavanam J.; Mary Jasmine E.; Kamath G.; Narayanan A. Source A related resource from which the described resource is derived 2024 15th International Conference on Computing Communication and Networking Technologies, ICCCNT 2024 Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ICCCNT61001.2024.10724604" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICCCNT61001.2024.10724604</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85211165967&doi=10.1109%2FICCCNT61001.2024.10724604&partnerID=40&md5=3b68d8d62ca43feed6aeb2ac341752c6" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85211165967&doi=10.1109%2fICCCNT61001.2024.10724604&partnerID=40&md5=3b68d8d62ca43feed6aeb2ac341752c6</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-835037024-9 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Vrindavanam J., Dayananda Sagar University, Department of Computer Science and Engineering(AI & ML), Bengaluru, India; Mary Jasmine E., Christ University, Department of Computer Science and Engineering, Bengaluru, India; Kamath G., Dayananda Sagar University, Department of Computer Science and Engineering(AI & ML), Bengaluru, India; Narayanan A., Dayananda Sagar University, Department of Computer Science and Engineering(AI & ML), Bengaluru, India https://archives.christuniversity.in/files/original/4e35c05b4713897f3ea6531bbe5c1d47.jpg 63655a33ccdd1dbf94b586405d789763 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource An analogical study of the narrative techniques used in the film Paradesi (2013) an adaptation of Tamil translation (Yerium Panikkadu) of the novel 'Red Tea' / Subject The topic of the resource Tamil Film Description An account of the resource International Journal Of Humanities and Social Science Invention, Vol.5, Issue 3, pp.1-6, ISSN: 2319-7722 (Online) 2319-7714 (Print). Creator An entity primarily responsible for making the resource Manavalan, Amutha. Source A related resource from which the described resource is derived <a href="http://www.ijhssi.org/papers/v5(3)/A05030106.pdf" target="_blank" title="An analogical study of the narrative techniques used in the film Paradesi (2013) an adaptation of Tamil translation (Yerium Panikkadu) of the novel 'Red Tea'" rel="noreferrer noopener">http://www.ijhssi.org/papers/v5(3)/A05030106.pdf</a> Publisher An entity responsible for making the resource available IJHSSI Date A point or period of time associated with an event in the lifecycle of the resource 2016-02-09 Language A language of the resource English Type The nature or genre of the resource Journal Article Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource An Analysis Conducted Retrospectively on the Use: Artificial Intelligence in the Detection of Uterine Fibroid Subject The topic of the resource DCNN; Deep Learning; Fibroids; Magnetic resonance imaging; Ultrasonography Description An account of the resource The most frequent benign pelvic tumors in women of age of conception are uterine fibroids, sometimes referred to as leiomyomas. Ultrasonography is presently the first imaging modality utilized as clinical identification of uterine fibroids since it has a high degree of specificity and sensitivity and is less expensive and more widely accessible than CT and MRI examination. However, certain issues with ultrasound based uterine fibroid diagnosis persist. The main problem is the misunderstanding of pelvic and adnexal masses, as well as subplasmic and large fibroids. The specificity of fibroid detection is impacted by the existing absence of standardized image capture views and the variations in performance amongst various ultrasound machines. Furthermore, the proficiency and expertise of ultra sonographers determines the accuracy of the ultrasound diagnosis of uterine fibroids. In this work, we created a Deep convolutional neural networks (DCNN) model that automatically identifies fibroids in the uterus in ultrasound pictures, distinguishes between their presence and absence, and has been internally as well as externally validated in order to increase the reliability of the ultrasound examinations for uterine fibroids. Additionally, we investigated whether Deep convolutional neural networks model may help junior ultrasound practitioners perform better diagnostically by comparing it to eight ultrasound practitioners at different levels of experience. 2024 IEEE. Creator An entity primarily responsible for making the resource Kaushik R.; Sharma K.P.; Malik S.; Shanbhog M. Source A related resource from which the described resource is derived 2024 11th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions), ICRITO 2024 Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ICRITO61523.2024.10522120" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICRITO61523.2024.10522120</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85193846764&doi=10.1109%2FICRITO61523.2024.10522120&partnerID=40&md5=67fe94a68db99724c0847cd071bae735" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85193846764&doi=10.1109%2fICRITO61523.2024.10522120&partnerID=40&md5=67fe94a68db99724c0847cd071bae735</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-835035035-7 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Kaushik R., Christ(Deemed to Be Univeristy), Delhi Ncr Campus, Department of Computer Science, Ghaziabad, India; Sharma K.P., Gla University, Department of Computer Engineering and Application, Mathura, India; Malik S., Christ(Deemed to Be Univeristy), Delhi Ncr Campus, Department of Computer Science, Ghaziabad, India; Shanbhog M., Christ(Deemed to Be Univeristy), Delhi Ncr Campus, Department of Computer Science, Ghaziabad, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource An analysis of factors associated with employee satisfaction in information technology companies Subject The topic of the resource (AMOS); Analysis of Moment Structure; job commitment; Job satisfaction; Performance and employee; Science (SPSS); Statistical Package for Social; teamwork; turnover; Work-life balance Description An account of the resource BACKGROUND AND OBJECTIVES: An employees satisfaction and performance are linked to the companys work discipline, personal factors, and organizational culture. This paper studies these three factors in the context of Information Technology companies and their connection to employee satisfaction. Job satisfaction is a significant issue in Information Technology Companies, leading to increased labour turnover in Information Technology Companies. The study highlights the relevance of Information Technology companies to understanding the reasons behind their employees satisfaction. Until now, little is known concerning the variants of job satisfaction among Information Technology employees, enriching the understanding in this particular professional area. The study was conducted to assess the job satisfaction needs of the employees in major Information Technology companies. The study helps to know the preferences and problems of the employees. METHODS: In this study, data was collected from employees from various Information Technology companies to uncover the factors that impact the satisfaction of employees. Considering the studys goal and the literature review, the technique was analytical and interpretive. Due to large populations random sampling method is convenient for the study. The studys objectives were achieved explicitly via the questionnaires design. To test the proposed hypotheses, all data were processed using the Structural Equation Modelling, Statistical Package for Social Science (SPSS) and Analysis of Moment Structures. FINDINGS: Information Technology companies need their employees to feel satisfied to achieve the overall objectives and remain loyal to the company to achieve company success. From the responses, we learned that 31% of the respondents were satisfied with their employer about the various allowances and benefits they receive. Also, we knew that around 50% of the respondents were happy with their choice of the company because of its future commitments. 102 of the respondents highly disagreed that they were satisfied with the attitude and nature of their employees. Also, 22.26% of the male respondents have said they are only sometimes motivated to go to work. The limitation of this study was that the collected data was only of the general employees of the Indian Information Technology companies and not to specific departments of those companies. Also, no categories of companies were defined as per turnover. CONCLUSION: By recognizing the importance of job satisfaction, managers can create an environment that motivates and engages employees, leading to better performance, increased productivity and reduced employee turnover 2024 Tehran Urban Research and Planning Center. All Rights Reserved. Creator An entity primarily responsible for making the resource Singhal D.; Salunkhe H.A. Source A related resource from which the described resource is derived International Journal of Human Capital in Urban Management, Vol-9, No. 1, pp. 135-156. Publisher An entity responsible for making the resource available Tehran Urban Research and Planning Center Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.22034/IJHCUM.2024.01.10" target="_blank" rel="noreferrer noopener">https://doi.org/10.22034/IJHCUM.2024.01.10</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85181878393&doi=10.22034%2FIJHCUM.2024.01.10&partnerID=40&md5=232f3500ebf0c4224546b919a3db38a6" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85181878393&doi=10.22034%2fIJHCUM.2024.01.10&partnerID=40&md5=232f3500ebf0c4224546b919a3db38a6</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 24764698 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Singhal D., School of Business and Management, Christ (Deemed to be University), Bangalore, India; Salunkhe H.A., School of Business and Management, Christ (Deemed to be University), Bangalore, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource An Analysis of Financial and Technological Factors Influencing AgriTech Acceptance in Bengaluru Division, Karnataka Subject The topic of the resource Agricultural innovation; Agricultural production; Agricultural technology; AgriTech; India agriculture; Karnataka Description An account of the resource In 2023, India surpassed China to become the world's most populated nation. This demographic surge has precipitated an escalating exigency for sustenance as populace burgeons unabatedly. To satiate this burgeoning demand there arises an imperative to augment yield of agriculture commensurately. It is pertinent to acknowledge that as per Global Hunger Index of 2019, India occupies disconcerting rank of 102 amongst consortium of 117 nations when gauged by severity of hunger quantified through Hunger Severity Scale with disquieting score of 30.3. Aspiration of attaining utopian objective of zero hunger by 2030 as promulgated by Sustainable Development Goals appears to be quixotic endeavor seemingly beyond realm of plausibility. In this milieu agricultural technology (AgriTech) enterprises within India present veritable opportunity to invigorate agricultural sector. Agrarian landscape of India has been undergoing profound metamorphosis owing to technological renaissance that has permeated nation facilitated by innovative solutions proffered by nascent corporate entities. State of Karnataka stands as an epicenter of sorts for AgriTech enterprises within India. In this study we meticulously scrutinize impact wielded by financial factors on adoption of AgriTech solutions by agrarian stakeholders and elucidate technological determinants that actuate embracement of AgriTech within this demographic. The study uses descriptive statistics and chi-square analyses to rigorously assess predefined objectives. Geographic ambit of this inquiry encompasses regions of Chikkaballapura and Doddaballapura Taluks situated within Bengaluru division of Karnataka in 2022. The empirical revelations distinctly illuminate that individuals vested with access to technological and financial resources exemplified by parameters such as annual household income, accessibility to commercial banking services, cooperative financial institutions, mobile telephony, internet connectivity and Global Positioning System (GPS) technology exhibit palpable predilection for integration of AgriTech solutions into their agrarian practices. The Author(s), under exclusive license to Springer Nature Switzerland AG 2024. Creator An entity primarily responsible for making the resource Kumari S.; Vineeth M.; Girish G.P. Source A related resource from which the described resource is derived Lecture Notes in Networks and Systems, Vol-1168 LNNS, pp. 207-216. Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-3-031-73321-5_22" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-3-031-73321-5_22</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85213378200&doi=10.1007%2F978-3-031-73321-5_22&partnerID=40&md5=2578b9dbe82cabc8505e8229c7ae1275" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85213378200&doi=10.1007%2f978-3-031-73321-5_22&partnerID=40&md5=2578b9dbe82cabc8505e8229c7ae1275</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 23673370; ISBN: 978-303173320-8 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Kumari S., Department of Economics, Christ (Deemed to Be University), Bangalore, India; Vineeth M., Department of Economics, Christ (Deemed to Be University), Bangalore, India; Girish G.P., Department of Finance, ICFAI Business School, Off-Campus Center, The ICFAI Foundation for Higher Education (a Deemed to-be-University under Sec 3 of UGC Act 1956), Hyderabad, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource An Analysis of Grimms' Transmedia Storytelling in the Age of Technology Subject The topic of the resource children's literature; digital surrealism; narrative; NLP techniques; Transmedia storytelling Description An account of the resource This research paper delves into an intersection of traditional literature and transmedia storytelling, with particular emphasis on Grimms' tales and its television series adaptation. Providing young audiences with engaging and dynamic experiences, transmedia storytelling involves delivering a single story across numerous platforms. Utilizing narrative analysis, this research seeks to uncover hidden themes, character growth, and story dynamics by breaking down the complex presentation and structure of stories in diverse media. Natural Language Processing (NLP) techniques like thematic analysis, sentiment analysis, keyword sentiment analysis have been employed to examine the differences between the presentation of these stories in varied formats as well as evaluating audience reception. It also assesses the degree to which transmedia adaptations support the resuscitation of beloved children's books in popular culture. By incorporating digital surrealism and aspects of technology, this paper enhances our understanding of how traditional stories captivate audiences across various media forms while maintaining their timeless quality. 2024 IEEE. Creator An entity primarily responsible for making the resource Samuel C.E.; Srishti R. Source A related resource from which the described resource is derived TQCEBT 2024 - 2nd IEEE International Conference on Trends in Quantum Computing and Emerging Business Technologies 2024 Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/TQCEBT59414.2024.10545037" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/TQCEBT59414.2024.10545037</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85204503489&doi=10.1109%2FTQCEBT59414.2024.10545037&partnerID=40&md5=cf17a45745973be136b45893d3b2adb1" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85204503489&doi=10.1109%2fTQCEBT59414.2024.10545037&partnerID=40&md5=cf17a45745973be136b45893d3b2adb1</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-835038427-7 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Samuel C.E., Christ University, Department of English, Bengaluru, India; Srishti R., Christ University, Department of Languages, Bengaluru, India https://archives.christuniversity.in/files/original/4760b3027ceface4117acdf2f1e365c5.pdf 9255b454e2355e72c5f3a3e25a33cbbe Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource MPHIL Mphil Mphil Thesis Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource An analysis of health record systems for essential parameter selection Creator An entity primarily responsible for making the resource Scaria Sumi Date A point or period of time associated with an event in the lifecycle of the resource 2014 Source A related resource from which the described resource is derived Computer science Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource An Analysis of Levenshtein Distance Using Dynamic Programming Method Subject The topic of the resource Approximation; Levenshtein distance; Similarity between words; Similarity calculation; String; The longest common subsequence Description An account of the resource An edit distance (or Levenshtein distance) amongst dual verses refers to the slightest amount of replacements, additions and omissions of signs essential to turn one name addicted to the additional is referred to as the edit distance (or Levenshtein distance) amongst dual verses. The challenge of calculating the edit distance of a consistent verbal, that is the set of verses recognised by a fixed mechanism, is addressed in this research. The Levenshtein distance is a straightforward metric for calculating the distance amongst dual words using a string approximation. After witnessing its efficiency, this approach was refined by combining certain comparable letters and minimising the biased modification between associates of the similar set. The findings displayed a considerable enhancement over the old Levenshtein distance method. 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. Creator An entity primarily responsible for making the resource Arockiya Jerson J.; Preethi N. Source A related resource from which the described resource is derived Lecture Notes in Networks and Systems, Vol-540, pp. 525-532. Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH Date A point or period of time associated with an event in the lifecycle of the resource 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-981-19-6088-8_46" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-19-6088-8_46</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85149819721&doi=10.1007%2F978-981-19-6088-8_46&partnerID=40&md5=dbd536625539a80ba9dda578cb9a0e89" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85149819721&doi=10.1007%2f978-981-19-6088-8_46&partnerID=40&md5=dbd536625539a80ba9dda578cb9a0e89</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 23673370; ISBN: 978-981196087-1 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Arockiya Jerson J., Christ University, Pune, Lavasa, India; Preethi N., Christ University, Pune, Lavasa, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource An analysis of load balancing algorithms in the cloud environment Subject The topic of the resource Cloud Computing; Dissemination Resources; Load Balancing Algorithm; Scheduling; SLA (Service Level Agreement) Description An account of the resource The emerging area in an IT environment is Cloud Computing. There are many advantages of the computing but unfortunately, allocation of the job request effectively is a trouble. It requires lots of infra structural commitments and the quality inputs of the resources. Also, in the cloud computing environment, Load Balancing is an important aspect. Efficient load balancing algorithm helps the resource to have optimized utilization with the proper dissemination of the resources to the cloud user in pay-as-you-say-manner. It also supports ranking the job request based on the priority with the help of scheduling technique. We present the various types of Load Balancing Techniques in the different platform of Cloud Environment specified in SLA (Service level Agreement). 2016 IEEE. Creator An entity primarily responsible for making the resource Thingom C.; Kumar G.; Yeon G. Source A related resource from which the described resource is derived Proceedings of the International Conference on Communication and Electronics Systems, ICCES 2016 Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Date A point or period of time associated with an event in the lifecycle of the resource 2016-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/CESYS.2016.7889905" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/CESYS.2016.7889905</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85018394351&doi=10.1109%2FCESYS.2016.7889905&partnerID=40&md5=bd43e734784dd0ceb9982696ac9456b3" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85018394351&doi=10.1109%2fCESYS.2016.7889905&partnerID=40&md5=bd43e734784dd0ceb9982696ac9456b3</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-150901065-3 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Thingom C., Centre for Advanced Research and Training, Christ University, Bangalore, India; Kumar G., Computer Science, Faculty of Engineering, Christ University, Bangalore, India; Yeon G., Innovation Centre, Christ University, Bangalore, India